Information processing apparatus, information processing method, and computer program product

By using data assimilation and user classification through information processing devices, the processing load and accuracy issues of estimating vehicle deterioration indicators have been resolved, enabling early and accurate prediction and efficient processing of vehicle deterioration.

CN122126286APending Publication Date: 2026-06-02HONDA MOTOR CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HONDA MOTOR CO LTD
Filing Date
2025-11-28
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

Existing technologies suffer from excessive processing load and difficulty in achieving good accuracy when estimating vehicle degradation indicators, especially for traceability data of recently released models, where statistical reliability and stability are insufficient.

Method used

Using an information processing device, machine learning models and data assimilation processing are employed to classify users based on traceability data from monitored vehicles, generate multiple pre-emptive candidate inference data, and select the optimal pre-emptive inference data through data assimilation processing. Combined with observation data, the degradation indicators are accurately inferred.

Benefits of technology

It effectively reduces the processing load, improves the estimation accuracy of degradation indicators, enables accurate predictions that conform to user usage patterns at an early stage, reflects the understanding in the vehicle design stage, and improves the statistical reliability of data.

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Abstract

This invention provides an information processing apparatus, an information processing method, and a computer program product. The information processing apparatus (10) includes an observation data acquisition unit (24) and a pre-estimation data determination unit (30). The observation data acquisition unit acquires observation data (RD) of indicators associated with vehicle deterioration, i.e., deterioration indicators. The pre-estimation data determination unit determines pre-estimation data by selecting, based on the observation data, pre-estimation data (PE) used for data assimilation processing to estimate deterioration indicators from a plurality of pre-prepared pre-estimation candidate data (PEC). Accordingly, the processing load of the information processing apparatus can be reduced.
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